Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,139
datasets available to search
ShareScore release 0.9.0
Dataset results
3,139 results for “fits”
Results from Voigt profile fitting from Hiss et al. 2018
<p>The file "cutoff_fitting.h5 " contains a subset of the joint distribution of the b-N distribution cutoff fitting parameters (b_0, Gamma), the joint distributions of the calibration values of the logT_0 - logb_0 relation (D, C), the distribution of the calibration factor of the (gamma-1) - (Gamma-1) relation (kappa) as well as our final joint distributions of the parameters of the temperature-density relation (T_0, gamma) for all redshifts presented in the paper.</p> <p>The README file gives basic instructions. The file read_example.py shows step by step how to read this information at a particular redshift.</p>
CS2_ITD_ENG_5_Crankshaft bearing press-fit
<p>To assemble some components together, one option is to press-fitting one part on the other. To ensure a good assembly, the right level of press-fit is required to be evaluated which is automatically done by these excel sheets. They have been used to evaluate the right level of press-fitting for bearings of piston engines (in aeronautical applications).</p>
Figure. Mean pre-adult development time (in days) values for all strains. Vertical bars denote 0.95 confidence intervals. in Effects of artificial migration of susceptible individuals on resistance and fitness of a fenitrothion-resistant strain of Musca domestica (L.) Diptera
Figure. Mean pre-adult development time (in days) values for all strains. Vertical bars denote 0.95 confidence intervals.
Figure 1 in Koa Looper Caterpillars (Scotorythra paludicola, Geometridae) Have Lower Fitness on Koa (Acacia koa, Fabaceae) True Leaves than on Phyllodes
Figure 1. Acacia koa displaying both phyllodes and true leaves. Photo taken by K.E. Barton, Waimea Valley, Oahu, June 2013.
Figure 2. Maximum likelihood tree from 16S rRNA data under the best-fitting model T92 in Notes on the distribution and biology of northern brown shrimp Farfantepenaeus aztecus (Ives, 1891) in the eastern Mediterranean
Figure 2. Maximum likelihood tree from 16S rRNA data under the best-fitting model T92 + G. Numbers above branches indicate bootstrap values among 1000 replicates. Branches without bootstrap numbers mean that the bootstrap values are below 50%.
Figure 2 in High temperatures adversely affect the hoverfly Episyrphus balteatus (Diptera: Syrphidae) fitness and aphid prey consumption
Figure 2. Kaplan-Meier survival curves of Episyrphus balteatus larvae reared under 20 °C (red color and filled line), 23 °C (green color and tiny dashed line), and 26 °C (blue color and large dashed line). Shade-colored areas indicate a 95% confidence interval computed from the medians of KaplanMeier survival curves.
Figure 1 in High temperatures adversely affect the hoverfly Episyrphus balteatus (Diptera: Syrphidae) fitness and aphid prey consumption
Figure 1. Mean values (± S.E.) for mass (A), body length (B), and pea aphid (Acyrthosiphon pisum) consumption rate (C) of Episyrphus balteatus larvae per day of experiment depending on rearing temperature. Dot shapes correspond to temperature treatments: circle to 20 °C (red), triangle to 23 °C (green), and square to 26 °C (blue). After post-hoc tests with Bonferroni correction, the character '*' corresponds to one significant pairwise comparison, '**' corresponds to two significant pairwise comparisons among the temperature treatments. Details of the mean values and statistical test outcomes per day of the experiment are given in Table 1.
Fig. 1 in Influence of feeding plasticity on the fitness of small Neotropical characids
Fig. 1. Study area in the Pantanal of Mato Grosso do Sul State, Brazil. A and B indicate the sampling sites in lagoons associated with the Miranda River.
Fig. 2 in Influence of feeding plasticity on the fitness of small Neotropical characids
Fig. 2. Food resources (% IAi) consumed by Hyphessobrycon eques, Odontostilbe pequira, Psellogrammus kennedyi and Serrapinnus calliurus, in the lagoons A and B (Ain, aquatic invertebrates; Tin, terrestrial invertebrates; Tes, Testacea; FSc, fish scale; Pla, plant; Alg, algae; Det, detritus).
IAM_COMPACT_Study_1_Fit_for_55
<p>This dataset contains the underling raw data of IAM COMPACT "Study 1 - Fit-for-55".</p> <p>This study aims to answer the research question, "how does the implementation of the updated national energy and climate plan compare to the cost-optimal EU plan?" However, due to delays in the release of the National Energy and Climate Plans (NECPs) by EU member states and limitations in the models used to represent specific national policies, this study compares cost-optimal model scenarios to achieve the EU emissions mitigation targets with EU-wide modelling of the Fit-for-55 policy package. The first scenario includes sector-level policies outlined in the Fit-for-55 policy packages, while the second scenario imposes emissions constraints on overall GHG and CO<sub>2</sub> emissions without including any sectoral policies, in order to compare the cost-effective measures with sectoral policies.</p> <p>Results of the study have been documented in D4.5 National regional global mitigation pathways (DOI <a href="../doi/10.5281/zenodo.13767329">10.5281/zenodo.13767329</a>)</p>
Relxill_NK Johannsen metric transfer function FITS files
<p>Transfer function FITS files to be used with the X-ray reflection model relxill_nk (<a href="https://github.com/ABHModels/relxill_nk">ABHModels/relxill_nk</a>).</p>
Linked collectors and determiners for: Colección de Fitolitos del Instituto de Ciencias Naturales (ICN-MHN-FIT).
Natural history specimen data linked to collectors and determiners held within, "Colección de Fitolitos del Instituto de Ciencias Naturales (ICN-MHN-FIT)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/92fe68db-c796-4324-affc-0239dc49dc94">https://bionomia.net/dataset/92fe68db-c796-4324-affc-0239dc49dc94</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/92fe68db-c796-4324-affc-0239dc49dc94">https://gbif.org/dataset/92fe68db-c796-4324-affc-0239dc49dc94</a>. Formatted as a Frictionless Data package.
Fitness App Ethical Requirements Stack
<p>An image of the Fitness App Ethical Requirements Stack</p>
Ethical Requirements Stack for Fitness App
<p>An image of the Ethical Requirements Stack for the Fitness App</p>
Fitness App
<p>Ethical Requirements Stack diagram</p>
Science ready spectra, their best-fitting models and results of Jeans axisymmetric modelling described in the research paper "Transforming gas-rich low-mass discy galaxies into ultra-diffuse galaxies by ram pressure" by Grishin, Chilingarian, Afanasiev et al.
<p>This package contains data presented in the paper "Transforming gas-rich low-mass discy galaxies into ultra-diffuse galaxies by ram pressure" by Grishin, Chilingarian, Afanasiev et al. (2021 Nature Astronomy in press). The dataset can be used to reproduce Figures 3 and 4 from the main manuscript and Extended Data Figures 1, 2, 4, 5 from the Supplementary Information.</p> <p>(1) Python scripts and data points required to reproduce Figure 4 in the manuscript and Extended Data Figure 5 from the Supplementary Information. The data and scripts are presented in a combined .zip archive for both figures.</p> <p>(2) One-dimensional spectra extracted within 1 half-light radius from long-slit Binospec spectra and multi-wavelength far-UV-to-near-IR broadband spectral energy distributions (SEDs) assembled from the photometric measurements extracted within the same aperture for 11 galaxies from the main sample (9 in the Coma cluster and 2 in the Abell 2147 cluster) and 5 galaxies from the supplementary (auxiliary) list. The spectra and SEDs are accompanied with their best-fitting stellar population models and parameters determined by the NBursts+phot algorithm: radial velocity, velocity dispersion, truncation age, final stellar metallicity. The templates are MILES-based models with self-consistent chemical evolution presented in Grishin et al. 2019 (https://ui.adsabs.harvard.edu/abs/2019arXiv190913460G/abstract). The filenames contain the coefficient for galactic winds and the mass fraction of stars in the final starburst, e.g. _l15_60 means lambda=1.5, SSP_frac=60 per cent. The files are presented as binary FITS tables with the fields annotated using unified content descriptors (UCDs) from the list established by the International Virtual Observatory Alliance and physical units where applicable.</p> <p>(3) Two-dimensional profiles of internal kinematics (radial velocity and velocity dispersion) and stellar population properties (truncation age and final stellar metallicity) derived from the analysis of long-slit Binospec spectra for 12 galaxies after adaptive binning, 11 from the main sample and GMP3016 in the Coma cluster from the supplementary sample; best-fitting Jeans axisymmetric models without adaptive binning, i.e. full profiles along the slit. The data are presented in binary FITS tables in the two FITS extensions, one for the profiles derived from the corresponding spectra and the second one for dynamical models.</p>
Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection
<p>Data Package for "Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection"</p> <p>This package contains data generated as part of our experiments on adaptive fitness function selection as part of unit test generation for Java systems.</p> <p>This paper is currently under submission. A draft of the paper is included in the data package.</p> <p>This package contains experimental data (in folder "experiment_data"), including goal attainment, fault detection, time per generation, and choices made by the reinforcement learning algorithm. In the folder "test_suites", the suites generated by each technique are included for each project. </p> <p>If you have questions, please contact Gregory Gay at greg@greggay.com.</p> <p>NOTE: A small number of items are currently missing from this data package and will be added shortly. Please make sure you have the latest version of this package.</p>
Data from: Microbial effects on plant phenology and fitness
<p>The enclosed files store the literature search results described in</p> <p>O'Brien<em> et al. </em>(2021) Microbial effects on plant phenology and fitness. <strong>American Journal of Botany </strong>(in press as of 5 July 2021)</p> <p>The preprint version of this article may be found at: https://ecoevorxiv.org/exadg/</p> <ul> <li><strong>search_results.tsv</strong> = Tab-delimited database of articles returned by Web of Science in response to the query described in the article.</li> <li><strong>split_records.tsv</strong> = Tab-delimited database of microbial effects on plant phenology, manually curated by O'Brien <em>et al. </em>from the articles listed in search_results.tsv and from closely related articles. Many of the reviewed articles included multiple plant species, multiple treatments, or other experimental factors, and some measured multiple phenological traits. This file lists each experimental observation separately, broken down by plant life-history strategy, microbe type, treatment method, plant organ, and other relevant details.</li> </ul>
Fitness cost from fluctuating ultraviolet radiation in Daphnia magna
<p><span><span><span><span><span><span><span><span><span><span><span>Solar ultraviolet radiation (UVR) is an important environmental threat for organisms in aquatic systems, but its temporally variable nature makes the understanding of its effects ambiguous. The aim of our study was to assess potential fitness costs associated with fluctuating UVR in the aquatic zooplankter <i>Daphnia magna</i>. We investigated individual survival, reproduction and behaviour when exposed to different UVR treatments. Individuals exposed to fluctuating UVR, resembling natural variations in cloud cover, had the lowest fitness (measured as the number of offspring produced during their lifespan). In contrast, individuals exposed to the same, but constant UVR dose, had similar fitness as control individuals (not exposed to UVR), but they showed a significant reduction in daily movement. The re-occurring threat response to the fluctuating UVR treatment thus had strong fitness costs for <i>D. magna</i>, and we found no evidence for plastic behavioural responses when continually being exposed to UVR, despite the regular, predictable exposure schedule. In a broader context, our results imply that depending on how variable a stressor is in nature, populations may respond with alternative strategies, a framework that could promote rapid population differentiation and local adaptation.</span></span></span></span></span></span></span></span></span></span></span></p>
Raw data: Validity of fitness trackers when worn by older adults
<p>Co-authors of the dataset:</p> <p>Marina Dobnik <sup>2</sup> , Stefan Loefler <sup>3,4,6</sup> , Christian Hofer <sup>4</sup> and Nejc Šarabon <sup>2,5</sup></p> <p><sup>1</sup> University of Primorska, Andrej Marušič Institute, Muzejski trg 2, 6000 Koper, Slovenia; kaja.kastelic@iam.upr.si</p> <p><sup>2</sup> University of Primorska, Faculty of Health Sciences, Polje 42, 6310 Izola, Slovenia; <a href="mailto:nejc.sarabon@fvz.upr.si">nejc.sarabon@fvz.upr.si</a></p> <p><sup>3</sup> Physiko- & Rheumatherapie, Institute for Physical Medicine and Rehabilitation, 3100 St. Pölten, Austria; stefan.loefler@kern-reha.at</p> <p><sup>4</sup> Ludwig Boltzmann Institute for Rehabilitation Research, Neugebäudeplatz 1, 3100 St. Pölten, Austria; christian.hofer@rehabilitationresearch.eu</p> <p><sup>5</sup> InnoRenew CoE, Livade 6, 6310 Izola, Slovenia</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.